scholarly journals Cycles and Uncertainty: Applications in the Tourist Accommodation Market

2021 ◽  
Vol 5 (1) ◽  
pp. 3
Author(s):  
Miguel Ángel Ruiz Reina
Keyword(s):  
Asymmetric Information ◽  
Empirical Analysis ◽  
Seasonal Pattern ◽  
Theoretical Framework ◽  
Sharing Economy ◽  
Economic Agents ◽  
Tourism Sector ◽  
The Matrix ◽  
Tourist Accommodation ◽  
Hotel Accommodation

In the socio-economic field, it is not surprising that decision-making is based on asymmetric information. Economic agents make decisions to forecast in primary and secondary industries related to the tourism sector. This study aims to provide knowledge in situations of asymmetric information with increasing randomness using time series for tourism accommodation markets. We are trying to solve the question of how consumers exchange their preferences for tourist accommodation between tourist apartments and hotel accommodation in Spain. The emergence of the sharing economy concept has emerged as a competitor to the traditional hotel accommodation in the tourist market. To do this, we will develop a theoretical framework to measure situations of uncertainty and their temporal evolution. Information Theory (IT) is the central axis of the study, particularly the concept of entropy. The Shannon entropy (SE) concept is a static measure of information. This work proposes to model the temporal arrangement of SE to discover the behaviors of the systems. The study in the domain of time and frequency allows us to understand the cycles of uncertainty between systems. To apply the theoretical framework, we will work with data from official Spanish sources for tourist accommodation from January 2008 to December 2019. The results of the empirical analysis show the decision changes of economic agents according to a seasonal pattern. Consumers have new accommodation options, and the answer we get from this work is that consumers have different preferences depending on seasonality. The use of SE allows us to make better predictions compared to SARIMA models, the traditional modelling of seasonal dummy variables, and VAR models. The results of the Matrix U1 Theil verify this hypothesis. The theoretical framework and empirical analysis find an answer to asymmetric information. The implications of this work contribute to the field of social sciences related to the tourism sector, in particular to thermodynamics, statistical mechanics, and IT. The modelling of uncertainty allows for the forecasting and control of accommodation tourist markets in random situations. The applications of this study can be tested in other areas of the economy such as finance, transportation, or investment.

scholarly journals Touristification, Sharing Economies and the New Geography of Urban Conflicts

Urban Science ◽  
2018 ◽  
Vol 2 (4) ◽  
pp. 104 ◽  
Author(s):  
Luis del Romero Renau
Keyword(s):  
Sharing Economy ◽  
Economic Sectors ◽  
Urban Centers ◽  
Digital Service ◽  
International Financial Crisis ◽  
Tourism Sector ◽  
Controversial Problem ◽  
Tourist Accommodation ◽  
New Geography ◽  
Urban Conflicts

The aim of this study was to address the highly controversial problem of the increasing touristification of urban centers, analyzing the case of Valencia. The paper begins with a theoretical reflection to disambiguate the term “sharing economy”, the emergence of all kinds of digital service platforms that are revolutionizing traditional economic sectors of services, such as transport, tourist accommodation, or personal services. The new geography of urban conflicts that has arisen in recent years in this city, largely as a consequence of the paradigm of the collaborative economy in the tourism sector, was analyzed. This situation contrasts sharply with the panorama of conflicts that existed before and during the international financial crisis. Finally, the main social, economic and environmental impacts of collaborative economies are discussed, from the approach of a new phase in neoliberal capitalism.

scholarly journals Bernoulli Time Series Modelling with Application to Accommodation Tourism Demand

2021 ◽  
Vol 5 (1) ◽  
pp. 17
Author(s):  
Miguel Ángel Ruiz Reina
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Prognostic Models ◽  
Series Data ◽  
Economic Agents ◽  
Time Series Modelling ◽  
Simulation And Training ◽  
Uncertainty Method ◽  
And Training ◽  
Hotel Accommodation

In this research, a new uncertainty method has been developed and applied to forecasting the hotel accommodation market. The simulation and training of Time Series data are from January 2001 to December 2018 in the Spanish case. The Log-log BeTSUF method estimated by GMM-HAC-Newey-West is considered as a contribution for measuring uncertainty vs. other prognostic models in the literature. The results of our model present better indicators of the RMSE and Ratio Theil’s for the predictive evaluation period of twelve months. Furthermore, the straightforward interpretation of the model and the high descriptive capacity of the model allow economic agents to make efficient decisions.

PENGELOLAAN AGROWISATA BUAH NAGA SEBAGAI WISATA ALTERNATIF DI LEMPONGSARI SLEMAN YOGYAKARTA

2016 ◽  
Vol 10 (01) ◽  
pp. 33-42
Author(s):  
Andiko Priyono ◽  
Widyarini Astuti
Keyword(s):  
Blood Sugar ◽  
Large Scale ◽  
Economic Value ◽  
Central Office ◽  
Scale Construction ◽  
Alternative Tourism ◽  
Tourism Sector ◽  
Dragon Fruit ◽  
Sugar Levels ◽  
Tourist Accommodation

The tourism sector is one of the assets owned by each region in Indonesia. In Yogyakarta, there are agricultural or agro tourist established by PT. Bona Mitra Multifarm, Agrotourism is located at Jl. Jengger lempongsari Sleman Yogyakarta is used as an alternative tourism because no large-scale construction and do not damage the environment. Agrotourism is already running two years and has an area of 2 hectares with the main plant is dragon fruit, here there are three types of dragon fruit is r ed, yellow and white. Dragon fruit is chosen because it has economic value which is quite high when compared with other fruit, other than that the Dragon Fruit has enough health giving properties such as balancing blood sugar levels, purify the blood. Strategies in the management of agrotourism as a new alternative object in Sleman, such as maximizing the knowl e dge of management and communicating between all management and society. The need for the provision af the allocation of funds for the provision of facilities, provide conseling to peoples who don’t understand about agrotourism, seek operating funds from the central office for security improvements such as fencing garden. In supporting the advancement of society agrotourism around also has an important role as well as maintain the security and comfort of tourists that visit here, friendly, open food stalls, juice, puls counter, and angkringan outside agrotourism area. Except that, around of agrotourism any accommodating facility build by others industries, so that it should be aacility for tourist accommodation that visit to this agrotourism. Keywords: Alternative Tourism, Agrotourism, Dragon Fruit, Yogyakarta

scholarly journals The Impact of Austerity Measures on Government Borrowing in GIIPS

2016 ◽  
Vol 8 (12) ◽  
pp. 106 ◽  
Author(s):  
Imre Ersoy ◽  
Talha Yanmaz
Keyword(s):  
Empirical Analysis ◽  
Rate Increase ◽  
Panel Cointegration ◽  
Government Debt ◽  
Cointegration Test ◽  
Tax Rate ◽  
Economic Agents ◽  
Panel Cointegration Test ◽  
Using Data ◽  
The Impact

The article investigates the effects of austerity measures on government debt in Greece, Ireland, Italy, Portugal and Spain (GIIPS) by employing panel cointegration test and using data between 1998 and 2014. The result of empirical analysis shows that tax rate increase on personal income did not result with decrease in government debt. Interest rate and wage that are control variables are also positively related with government debt levels. The result of this empirical analysis suggests that the impact of austerity measures on government borrowing in GIIPS is positive, despite the expectations of certain economic agents.

scholarly journals The Analysis of Blocking Behavior and Pricing: The Case of Airbnb

2020 ◽  
pp. 1-28
Author(s):  
Yifeng Peng
Keyword(s):  
Empirical Analysis ◽  
Rapid Growth ◽  
Profit Maximization ◽  
Sharing Economy ◽  
Pricing Strategy ◽  
Pricing Strategies ◽  
Product Pricing ◽  
Starting Point ◽  
The Future ◽  
Resources Sharing

Over the years, as people's lives have improved, our need for transportation and accommodation has increased, driving the rapid growth of the sharing economy. Some well-known network sharing platforms, such as Uber, Drip and Airbnb, provide a large number of convenient options for users with transactional needs, make more use of idle tourism, accommodation and other resources. Sharing economy platforms continue to improve the content and format of their products, but at the same time, the future of sharing platforms and the difficulty of competition is a concern as more platform companies become involved and prices become more transparent. Under this circumstance, optimizing product pricing has become an urgent need for many sharing economy platforms. In this paper, we take Airbnb as the starting point and conduct an empirical analysis of the blocking behavior of homeowners based on proprietary data to explore the factors that affect their product supply. We find that price, number of beds, and listing type all have a significant impact on blocking houses. After that, we conducted further research on price factors and developed a model aiming at profit maximization to obtain the best pricing range for the region and provide suggestions for pricing strategies. Keywords: Sharing Economy, Blocking behavior, Pricing Strategy, Airbnb

Anxiety and the Antisocial

2018 ◽  
Author(s):  
Greg Goldberg
Keyword(s):  
Queer Theory ◽  
Theoretical Work ◽  
Theoretical Framework ◽  
Sharing Economy ◽  
Recent Theoretical Work ◽  
Modes Of Thought ◽  
Psychological Disposition

This chapter elaborates a novel theoretical framework that draws from the antisocial thesis in queer theory, particularly as formulated by Leo Bersani, as well as recent theoretical work on affect and emotion by Sianne Ngai and Sara Ahmed. Weaving these theoretical strands together, the chapter proposes that anxiety is not simply an individual psychological disposition, but can also be ascribed to modes of thought. The chapter then argues that anxiety, as a discursive affect, functions as a “straightening device,” policing antisocial subjects (or non-subjects) and calling them back to valued forms of sociality. This argument provides a foundation for interpreting the anxieties about playbor, automation, and the sharing economy discussed in the chapters that follow.

Sharing Economy and Sustainability in Tourism

2019 ◽  
pp. 30-47
Author(s):  
Nunzia Borrelli ◽  
Monica Bernardi
Keyword(s):  
South Korea ◽  
Case Studies ◽  
Emerging Market ◽  
Sustainable Tourism ◽  
Sharing Economy ◽  
Peer To Peer ◽  
Tourism Sector ◽  
Sustainability Issue ◽  
The Usa

The chapter focuses on the growing importance that the sustainability issue is gaining in tourism and on the increasing research of sustainable forms of tourism among travelers, looking to the relation with the emerging market of the sharing economy. Three streams of literature are merged: the contemporary tourists, the sustainable tourism and the sharing economy. This triangulation allows reflecting on the challenges that tours operators and in general the traditional tourism sector have to face in order to maintain their position on the market while accomplishing the sustainable goals. The analysis of three case studies, peer-to-peer platforms from South Korea, Italy, and the USA, favors the identification of some preliminary suggestions.

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